Brain antibody sequence evaluation (BASE): an easy-to-use software for complete data analysis in single cell...

Area of Science:

• Immunology
• Bioinformatics
• Molecular Biology

Background:

• Recombinant monoclonal antibody (mAb) repertoire analysis is crucial for understanding autoimmune diseases.
• Current methods for generating patient-derived mAb libraries are labor-intensive and inefficient.

Purpose of the Study:

• To develop an automated software solution for analyzing single-cell immunoglobulin sequence data.
• To streamline the process of generating recombinant monoclonal antibody libraries.

Main Methods:

• Development of BASE software with two modules: aBASE for immunological annotation and cBASE for plasmid sequence identity confirmation.
• Comparison of automated BASE analysis with manual analysis for accuracy and efficiency.

Main Results:

• BASE provides complete data analysis for single-cell immunoglobulin cloning.
• Automated aBASE analysis showed 100% identity with manual analysis for most outputs, and 96% for immunoglobulin isotype determination.
• cBASE confirmed plasmid sequence identity in 89.8% of cases with high accuracy, comparable to manual results.

Conclusions:

• BASE offers an efficient, user-friendly software for complete immunoglobulin sequence data analysis and tracking.
• cBASE's plasmid sequence identity confirmation provides unique functionality, reducing workflow time.
• BASE is available for local installation or online access.